Biomedical AI & Data Engineer for Large-Scale Health Data

Human Technopole

Milano

In loco

EUR 41.000 - 51.000

Tempo pieno

28 ore fa
Candidati tra i primi
Generatore di candidature

Una candidatura completa in un minuto — curriculum e lettera di presentazione personalizzati, pronti da inviare.

Supera i filtri ATS

Vantaggi offerti da questo lavoro

Relocation support
International campus

Descrizione del lavoro

Human Technopole in Milan invites applications for a Research Software Engineer who bridges software engineering, AI, and biomedical research. You will work directly with researchers developing machine learning methods on massive longitudinal health datasets and multi-omics data.

The position offers collaboration with international partners and a path to contribute to scalable infrastructure, reproducible software, and containerised pipelines in a top-tier health data science environment.

Competenze

  • BSc in computer science, software engineering, bioinformatics, computational science, or related field.
  • Strong programming skills, particularly in Python, and maintainable software development experience.
  • Experience with Git, testing and continuous integration.

Mansioni

  • Develop pipelines to process population-scale health, genomic and multi-omics data.
  • Support training, evaluation and deployment of large AI models across HPC, GPU and cloud environments.
  • Help establish software engineering standards for reproducibility, testing, and documentation.

Conoscenze

Python
Git
CI/CD
English

Formazione

BSc in Computer Science
MSc in Computer Science

Descrizione del lavoro

Human Technopole in Milan invites applications for a Research Software Engineer who bridges software engineering, AI, and biomedical research. You will work directly with researchers developing machine learning methods on massive longitudinal health datasets and multi-omics data.

The position offers collaboration with international partners and a path to contribute to scalable infrastructure, reproducible software, and containerised pipelines in a top-tier health data science environment.

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